korban<-c(10,12,4,16,8)
negara<-c("US","UK","Australia","Germany","France")
persen<-round((korban/sum(korban))*100)
data.frame(korban,negara,persen)
##   korban    negara persen
## 1     10        US     20
## 2     12        UK     24
## 3      4 Australia      8
## 4     16   Germany     32
## 5      8    France     16

visualisasi pie chart

label<-paste(negara,persen,"%") #menambahkan presentase ke pie chart
pie(korban,labels=label,col=rainbow(length(label)),main="pie chart korban tsunami")

visualisasi bar chart

barplot(korban,col="red",main="Barplot korban tsunami",names.arg=negara)

#diagram titik (dot plots)

data("mtcars")
head(mtcars)
##                    mpg cyl disp  hp drat    wt  qsec vs am gear carb
## Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
## Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
## Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
## Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
## Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
## Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1
dotchart(mtcars$mpg,cex=0.7,main="jarak tempuh kendaraan per liter",xlab="jarak tempuh(km) per liter")

#steam and leaf plots

stem(mtcars$mpg,scale=2)
## 
##   The decimal point is at the |
## 
##   10 | 44
##   12 | 3
##   14 | 3702258
##   16 | 438
##   18 | 17227
##   20 | 00445
##   22 | 88
##   24 | 4
##   26 | 03
##   28 | 
##   30 | 44
##   32 | 49

Histogram

hist(mtcars$mpg,breaks=9,main= "Histogram Jarak tempuh kendaraan per liter",col="blue",xlab="Jarak tempuh per Liter")